Send us a text The Causal Gap: Truly Responsible AI Needs to Understand the Consequences Why do LLMs systematically drive themselves to extinction, and what does it have to do with evolution, moral reasoning, and causality? In this brand-new episode of Causal Bandits, we meet Zhijing Jin (Max Planck Institute for Intelligent Systems, University of Toronto) to answer these questions and look into the future of automated causal reasoning. In this episode, we discuss: - Zhijing's new work on...
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Send us a text The Causal Gap: Truly Responsible AI Needs to Understand the Consequences Why do LLMs systematically drive themselves to extinction, and what does it have to do with evolution, moral reasoning, and causality? In this brand-new episode of Causal Bandits, we meet Zhijing Jin (Max Planck Institute for Intelligent Systems, University of Toronto) to answer these questions and look into the future of automated causal reasoning. In this episode, we discuss: - Zhijing's new work on...
Causal AI at cAI 2024 London | CausalBanditsPodcast.com
Causal Bandits Podcast
20 minutes
11 months ago
Causal AI at cAI 2024 London | CausalBanditsPodcast.com
Send us a textCausal Bandits at cAI 2024 (The Royal Society, London)The cAI Conference in London slammed the door on baseless claims that causality cannot be used in industrial practice.In the episode of Causal Bandits Extra we interview participants and speakers at Causal AI Conference London, who share their main insights from the event, and the challenges they face in applying causal methods in their everyday work.Time codes:00:29 - Eyal Kazin (Zimmer Biomet)01:44 - Athanasios Vlontzos (Sp...
Causal Bandits Podcast
Send us a text The Causal Gap: Truly Responsible AI Needs to Understand the Consequences Why do LLMs systematically drive themselves to extinction, and what does it have to do with evolution, moral reasoning, and causality? In this brand-new episode of Causal Bandits, we meet Zhijing Jin (Max Planck Institute for Intelligent Systems, University of Toronto) to answer these questions and look into the future of automated causal reasoning. In this episode, we discuss: - Zhijing's new work on...